augment_columns is intended for use in the internals of augment methods only and is exported for developers extending the broom package. Please instead use augment() to appropriately make use of the functionality in augment_columns().

## Usage

augment_columns(
x,
data,
newdata = NULL,
type,
type.predict = type,
type.residuals = type,
se.fit = TRUE,
...
)

## Arguments

x

a model

data

original data onto which columns should be added

newdata

new data to predict on, optional

type

Type of prediction and residuals to compute

type.predict

Type of prediction to compute; by default same as type

type.residuals

Type of residuals to compute; by default same as type

se.fit

Value to pass to predict's se.fit, or NULL for no value

...

extra arguments (not used)

## Details

Note that, in the case that a residuals() or influence() generic is not implemented for the supplied model x, the function will fail quietly.